AI SDR Market by Offering (Email Generators, Enrichment, AI Script, Template Generators, Meeting Booking), Use Case (Appointment Scheduling, Prospecting, Outreach, CRMs, Data Management, Follow up, Research, Sales Engagement) - Global Forecast to 2030
상품코드:1801770
리서치사:MarketsandMarkets
발행일:2025년 08월
페이지 정보:영문 361 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
세계의 AI SDR 시장은 강력한 성장을 보이고 있으며, 시장 규모는 2025년 41억 2,000만 달러에서 2030년까지 150억 1,000만 달러에 달할 것으로 예측되며, 예측 기간에 CAGR로 29.5%의 성장이 전망됩니다.
영업팀은 AI SDR 솔루션을 활용하여 대규모 개인화를 통한 영향력 있는 아웃리치를 실현하기 위해 AI SDR 솔루션을 활용하고 있습니다. AI를 활용하여 구매자의 신호를 분석하고, 잠재고객을 세분화하고, 실시간으로 메시징을 맞춤화함으로써 기업은 수천 명의 잠재고객에게 관련성 있고 개인화된 커뮤니케이션을 제공할 수 있습니다. 이 접근 방식은 속도와 양을 희생하지 않고도 참여의 질을 향상시킬 수 있습니다.
조사 범위
조사 대상연도
2020-2030년
기준연도
2024년
예측 기간
2025-2030년
단위
10억 달러
부문
제공, 배포 모델, 세일즈 채널, 사용 사례, 최종사용자, 지역
대상 지역
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카
SDR은 AI가 생성한 인사이트를 통해 리드의 우선순위를 보다 효과적으로 설정하고, 의도와 활동에 따라 후속 조치를 조정할 수 있습니다. 고객 전환에 대한 압박이 가중되는 가운데, 확장 가능한 개인화는 더 높은 응답률, 더 강력한 파이프라인 전환, 그리고 궁극적으로 더 효과적인 영업 개발 성과를 촉진하는 데 필수적인 요소로 자리 잡았습니다.
"중견 시장 영업 조직 기업 유형 부문이 예측 기간 중 가장 빠른 성장세를 보일 것입니다. "
중견 시장 영업 조직은 대규모 기업 시스템처럼 복잡하지 않으면서도 생산성을 높일 수 있는 확장 가능하고 비용 효율적인 프로스펙팅 솔루션이 필요하므로 AI SDR 시장에서 가장 높은 성장률을 주도하고 있습니다. 이러한 조직은 더 슬림한 영업팀과 한정된 리소스로 운영되는 경우가 많으며, AI를 통한 자동화가 대량 리드 생성 및 자격 검증에 필수적입니다. 클라우드 기반 AI SDR 툴은 신속한 배포, CRM과의 원활한 통합, 파이프라인 속도에 대한 측정 가능한 영향을 제공합니다. 또한 중견 시장 기업은 타겟팅 개선, 수작업 감소, 다양한 고객 부문에서 일관된 아웃바운드 성과를 지원하는 AI 강화 워크플로우의 혜택을 누릴 수 있는 하이브리드 세일즈 모델을 점점 더 많이 채택하고 있습니다.
"클라우드 네이티브 SaaS 배포 모델이 예측 기간 중 가장 큰 시장 점유율을 차지할 것입니다. "
클라우드 네이티브 SaaS 배포 모델은 확장성, 통합 용이성, 최소한의 인프라 요구 사항으로 인해 AI SDR 시장에서 가장 높은 성장률을 보이고 있습니다. SaaS는 신속한 온보딩, 원활한 업데이트, 분산된 영업팀 간의 유연한 접근을 가능하게 하며, 역동적인 프로스펙팅 환경에 필수적입니다. SaaS 플랫폼은 CRM 및 영업 지원 툴와 실시간 데이터 동기화를 지원하여 리드의 정확성과 아웃리치의 효율성을 높입니다. 영업 조직이 민첩성, 원격 지원, 가치 실현 시간 단축을 우선시하는 가운데, 클라우드 네이티브 AI SDR 솔루션은 이상적인 적합성을 제공합니다. 또한 종량제 모델로 초기 비용을 절감할 수 있으며, 중견기업과 대기업 모두에게 매우 매력적인 솔루션이 될 수 있습니다.
"북미는 기업 규모의 자동화를 통해 AI SDR을 확산하고, 아시아태평양은 급성장하는 B2B 시장에서의 채택을 가속화할 것입니다. "
북미는 성숙한 디지털 인프라, 광범위한 CRM 통합, 아웃바운드 세일즈 워크플로우에서 AI의 조기 도입으로 AI SDR 시장을 선도하고 있습니다. 다양한 부문의 기업이 AI SDR 툴을 사용하여 프로스펙팅 자동화, 리드 정량화 개선, 대량 아웃리치 간소화를 위해 AI SDR 툴을 활용하고 있습니다. AI 퍼스트 벤더의 강력한 기반과 첨단화된 세일즈 생태계의 존재는 인텐트 기반 타겟팅, 실시간 참여 제안, 동적 리드 인리치먼트 등의 분야에서 지속적인 혁신을 지원하고 있습니다.
세계의 AI SDR 시장에 대해 조사분석했으며, 주요 촉진요인과 억제요인, 경쟁 구도, 향후 동향 등의 정보를 제공하고 있습니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 중요 인사이트
AI SDR 시장의 기업에 매력적인 기회
AI SDR 시장 : 상위 3개 기업 유형
북미의 AI SDR 시장 : 배포 모델별, 기업 유형별
AI SDR 시장 : 지역별
제5장 시장의 개요
서론
시장 역학
촉진요인
억제요인
기회
과제
AI SDR와 영업 담당자 : 전략의 비교
AI SDR 시장의 진화
공급망 분석
에코시스템 분석
투자와 자금조달 시나리오
사례 연구 분석
사례 연구 1 : KEATEXT, HubSpot Sales Hub와의 제휴로 리드 질과 영업 체제를 강화
사례 연구 2 : ARTISAN, AI에 의한 세일즈 자동화로 BIOACCESS의 수작업에 의한 아웃리치의 과제를 극복
사례 연구 4 : ACTIONCOACH, 타겟 아웃리치에 COGNISM AI SDR 솔루션을 활용하여 질 높은 미팅을 증가
사례 연구 5 : 6SENSE 컨택 데이터와 인사이트를 활용한 NETSKOPE SDR의 프로스펙팅 변혁
기술 분석
주요 기술
보완 기술
인접 기술
규제 상황
규제기관, 정부기관, 기타 조직
규제 구조
특허 분석
조사 방법
특허 출원 건수 : 서류 유형별(2016-2025년)
혁신과 특허 출원
가격결정 분석
평균 판매 가격 : 기능성별, 주요 기업별
평균 판매 가격 : 판매 프로세스별
주요 컨퍼런스와 이벤트(2025-2026년)
Porter's Five Forces 분석
주요 이해관계자와 구입 기준
고객 비즈니스에 영향을 미치는 동향/혼란
인간 SDR vs. AI SDR
제6장 AI SDR 시장 : 제공별
서론
소프트웨어
AI 아웃리치 어시스턴트
대화 인텔리전스 툴
AI 강화 세일즈 관여 플랫폼
리드 조사·인리치먼트 봇
이메일 전달 가능성 최적화
AI 스크립트·템플릿 제너레이터
서비스
워크플로우 자동화 셋업·통합
AI 개별화·신속한 컨설팅
전달 가능성·스팸 감사 서비스
제7장 AI SDR 시장 : 배포 모델별
서론
클라우드 네이티브 SaaS
Chrome 확장 기능
API 퍼스트 모듈러 임베드
제8장 AI SDR 시장 : 세일즈 채널별
서론
인바운드
아웃바운드
하이브리드
제9장 AI SDR 시장 : 사용 사례별
서론
리드 제너레이션·쿠오리피케이션
프로스펙팅·아웃리치
CRM 통합·데이터 관리
회의·예약 스케줄링
조사·코칭·SDR 지원
팔로 업·육성
세일즈 리포트·애널리틱스
통합 환경
제10장 AI SDR 시장 : 최종사용자별
서론
기업 유형
스타트업·중소기업
중견 시장 영업 조직
기업 SDR 팀
업계별
소매·E-Commerce
BFSI
통신
의료·생명과학
교육
미디어·엔터테인먼트
제조
여행·접객(Hoapitality)
부동산·건설
자동차·운송·물류
기타 업계
제11장 AI SDR 시장 : 지역별
서론
북미
북미의 AI SDR 시장 촉진요인
북미의 거시경제 전망
미국
캐나다
유럽
유럽의 AI SDR 시장 촉진요인
유럽의 거시경제 전망
영국
독일
프랑스
이탈리아
스페인
기타 유럽
아시아태평양
아시아태평양의 AI SDR 시장 촉진요인
아시아태평양의 거시경제 전망
중국
일본
인도
한국
호주·뉴질랜드
ASEAN
기타 아시아태평양
중동 및 아프리카
중동 및 아프리카의 AI SDR 시장 촉진요인
중동 및 아프리카의 거시경제 전망
중동
아프리카
라틴아메리카
라틴아메리카의 AI SDR 시장 촉진요인
라틴아메리카의 거시경제 전망
브라질
멕시코
아르헨티나
기타 라틴아메리카
제12장 경쟁 구도
개요
주요 참여 기업의 전략/강점(2021-2025년)
매출 분석(2020-2024년)
시장 점유율 분석(2024년)
제품의 비교
제품 비교 분석 : 기업 유형별(스타트업·중소기업)
제품 비교 분석 : 기업 유형별(중견 시장 영업 조직)
제품 비교 분석 : 기업 유형별(기업 SDR 팀)
기업의 평가와 재무 지표
기업 평가 매트릭스 : 주요 기업(2024년)
기업 평가 매트릭스 : 스타트업/중소기업(2024년)
경쟁 시나리오
제13장 기업 개요
서론
주요 기업
HUBSPOT
SALESFORCE
DIALPAD
SALESLOFT
6SENSE
ZOOMINFO
APOLLO.IO
OPENAI
CLARI
COGNISM
MICROSOFT
GUPSHUP
OUTREACH
VIDYARD
PLIVO
QUALIFIED
OTTER.AI
CONVERSICA
KLENTY
REPLY.IO
SEAMLESS.AI
WAALAXY
기타 기업
COMMON ROOM
ARTISAN AI
USERGEMS
SCRATCHPAD
CLAY
UNIFY
LYZR AI
HUMANTIC AI
RELEVANCE AI
REGIE.AI
SALESFORGE
11X AI
FLOWORKS
WARMLY
LURU
AISDR
CHASELABS
BLUEBIRDS
SUPERREP.AI
SUPERAGI
INSTANTLY
PERSANA AI
FACTORS.AI
SALESHANDY
제14장 인접 시장과 관련 시장
서론
AI 에이전트 시장 - 세계 예측(-2030년)
시장의 정의
시장의 개요
세일즈·마케팅용 AI 시장 - 세계 예측(-2030년)
시장의 정의
시장의 개요
제15장 부록
KSA
영문 목차
영문목차
The AI SDR market is experiencing strong growth, projected to rise from USD 4.12 billion in 2025 to USD 15.01 billion by 2030, at a CAGR of 29.5% during the forecast period. Sales teams are increasingly turning to AI SDR solutions to achieve high-impact outreach through personalization at scale. By leveraging AI to analyze buyer signals, segment audiences, and adapt messaging in real time, organizations can deliver relevant, individualized communication across thousands of prospects. This approach improves engagement quality without compromising speed or volume.
Scope of the Report
Years Considered for the Study
2020-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
USD Billion
Segments
Offering, Deployment Model, Sales Channel, Use Case, End User, And Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
AI-generated insights also enable SDRs to prioritize leads more effectively and tailor follow-ups based on intent or activity. As the pressure to convert top-of-funnel opportunities grows, scalable personalization has become essential for driving higher response rates, stronger pipeline conversions, and ultimately, more effective sales development outcomes.
"Mid-market sales organizations enterprise type segment to account for the fastest growth during the forecast period"
Mid-market sales organizations are driving the highest growth rate in the AI SDR market due to their need for scalable, cost-efficient prospecting solutions that enhance productivity without the complexity of large enterprise systems. These organizations often operate with leaner sales teams and limited resources, making AI-driven automation essential for high-volume lead generation and qualification. Cloud-based AI SDR tools offer quick deployment, seamless CRM integration, and measurable impact on pipeline velocity. Additionally, mid-market firms are increasingly adopting hybrid sales models, which benefit from AI-enhanced workflows that improve targeting, reduce manual tasks, and support consistent outbound performance across diverse customer segments.
"Cloud native SaaS deployment model to hold the largest market share during the forecast period"
The cloud-native SaaS deployment model is experiencing the highest growth rate in the AI SDR market due to its scalability, ease of integration, and minimal infrastructure requirements. It enables rapid onboarding, seamless updates, and flexible access across distributed sales teams, critical for dynamic prospecting environments. SaaS platforms support real-time data syncing with CRMs and sales engagement tools, enhancing lead accuracy and outreach efficiency. As sales organizations prioritize agility, remote enablement, and faster time-to-value, cloud-native AI SDR solutions offer an ideal fit. Their pay-as-you-go models also lower upfront costs, making them highly attractive to both mid-market firms and large enterprises.
"North America advances AI SDR deployment through enterprise-scale automation, while Asia Pacific accelerates adoption in fast-growing B2B markets."
North America leads the AI Sales Development Representative (SDR) market, driven by a mature digital infrastructure, widespread CRM integration, and the early adoption of AI in outbound sales workflows. Companies across sectors use AI SDR tools to automate prospecting, improve lead qualification, and streamline high-volume outreach. The presence of advanced sales ecosystems and a strong base of AI-first vendors supports continued innovation in areas like intent-based targeting, real-time engagement suggestions, and dynamic lead enrichment. In contrast, Asia Pacific represents the fastest-growing region for AI SDR adoption, spurred by rapid digitalization, a surge in B2B SaaS activity, and increasing demand for scalable sales automation. Markets like India, China, and Japan are actively deploying AI tools to manage lead sourcing, customize cold outreach, and accelerate qualification at scale. The region's expanding digital economy, supported by startup growth and digital infrastructure investments, is reshaping sales development across sectors. As organizations seek more efficient and intelligent ways to drive top-of-funnel engagement, Asia Pacific is becoming a key growth hub for AI SDR solutions.
Breakdown of Primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI SDR market.
By Company: Tier I - 25%, Tier II - 45%, and Tier III - 30%
By Designation: C-Level Executives - 35%, D-Level Executives - 40%, and Others - 25%
By Region: North America - 45%, Europe - 25%, Asia Pacific - 15%, Middle East & Africa - 10%, and Latin America - 5%
The report includes a study of key players offering AI SDR. The major market players include HubSpot (US), Salesforce (US), Dialpad (US), Salesloft (US), 6Sense (US), ZoomInfo (US), Apollo.io (US), OpenAI (US), Clari (US), Cognism (UK), Microsoft (US), GupShup (US), Outreach (US), Vidyard (Canada), Plivo (US), Qualified (US), Otter.ai (US), Conversica (US), Klenty (India), Reply.io (US), Seamless.ai (US), Waalaxy (France), Common Room (US), Artisan AI (US), UserGems (US), Scratchpad (US), Clay (US), Unify (Germany), Lyzr AI (US), Humantic AI (US), Relevance AI (Australia), Regie.ai (US), Salesforge (Estonia), 11x AI (UK), Floworks (US), Warmly (US), Luru (US), AiSDR (US), Bluebirds (US), ChaseLabs (UK), SuperRep.ai (US), SuperAGI (US), Instantly (US), Persana AI (US), Factors.ai (US), and Saleshandy (India).
Research Coverage
This research report categorizes the AI SDR market based on offering (software (AI Outreach Assistants (Personalized Email Generators, Cold Call Script Writers, Follow-Up Sequencers), Conversation Intelligence Tools (Real-Time Coaching, Sentiment & Intent Detection, Objection Handling), AI-Enhanced Sales Engagement Platforms (Multichannel Sequencing, Engagement Scoring, Meeting Booking), Lead Research & Enrichment Bots (AI-ICP Matching, Enrichment, Trigger Monitoring), Email Deliverability Optimizers (Spam Risk Tools, Inbox Rotation & Warming), AI Script & Template Generators (Agent-led Outreach Execution, Persona-based Prompting, SDR Agent Monitoring Dashboard)) and services (Workflow Automation Setup & Integration, AI Personalization & Prompt Consulting, Deliverability & Spam Audit Services), deployment model (Cloud-Native SaaS, Chrome Extensions, API-first Modular Embeds), sales channel (Inbound, Outbound, Hybrid), use case (Lead Generation & Qualification (Outbound Email Personalization, Inbound Lead Qualification, Lead Routing & Prioritization), Prospecting & Outreach (Cold Calling Assistance, Conversation Summarization), CRM Integration & Data Management (CRMs, Data Providers), Meeting & Appointment Scheduling , Research, Coaching & SDR Enablement (SDR Enablement & Onboarding, Research & Coaching), Follow-up & Nurturing, Sales Reporting & Analytics, Integration Environment (Email Tools, Sales Engagement Platforms, Marketing Platforms)), end user (enterprise type (Startups & SMBs, Mid-Market Sales Organizations, Enterprise SDR Teams), industry vertical (Retail & E-commerce, BFSI (Banking, Financial Services, Insurance), Telecommunications, Healthcare & Life Sciences, Education, Media & Entertainment (Marketing & Advertising Agencies, Music & Film Production, Gaming & Sports, Publishing & Print Media, Broadcasting & Streaming), Manufacturing, Travel & Hospitality, Real Estate & Construction, Automotive, Transportation & Logistics, and Other Industry Verticals (Law Firms, Government And Public Sector)), and region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America).
The scope of the report covers detailed information regarding drivers, restraints, challenges, and opportunities influencing the growth of the AI SDR market. A detailed analysis of the key industry players was done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, product & service launches, and mergers and acquisitions; and recent developments associated with the market. This report also covered the competitive analysis of upcoming startups in the market ecosystem.
Key Benefits of Buying the Report
The report will provide market leaders and new entrants with information on the closest approximations of the revenue numbers for the overall AI SDR market and its subsegments. It will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. It will also help stakeholders understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights into the following pointers:
Analysis of key drivers (Adoption of Hybrid Human-AI Sales Engagement Models, Intent-Based Prospecting Enhances Lead Targeting and Boosts Conversion in AI SDR Platforms, Maximizing Sales Impact with Personalization at Scale), restraints (Inefficiencies in Segmentation Logic and Targeting Precision), opportunities (Emergence of Multi-Agent AI-Driven SDR Architectures, Advancing Sales Efficiency Through Predictive Lead Qualification, Transforming Process Optimization with Adaptive, Self-Improving Agentic AI Capabilities), and challenges (Deficiencies in Emotional Intelligence and Contextual Adaptability, Reliance on High-Fidelity and Contextually Accurate Data Inputs)
Product Development/Innovation: Detailed insights into upcoming technologies, research & development activities, and product & service launches in the AI SDR
Market Development: Comprehensive information about lucrative markets - analyzing the AI SDR market across varied regions
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI SDR market
Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as HubSpot (US), Salesforce (US), Dialpad (US), Salesloft (US), 6Sense (US), ZoomInfo (US), Apollo.io (US), OpenAI (US), Clari (US), Cognism (UK), Microsoft (US), GupShup (US), Outreach (US), Vidyard (Canada), Plivo (US), Qualified (US), Otter.ai (US), Conversica (US), Klenty (India), Reply.io (US), Seamless.ai (US), Waalaxy (France), Common Room (US), Artisan AI (US), UserGems (US), Scratchpad (US), Clay (US), Unify (Germany), Lyzr AI (US), Humantic AI (US), Relevance AI (Australia), Regie.ai (US), Salesforge (Estonia), 11x AI (UK), Floworks (US), Warmly (US), Luru (US), AiSDR (US), Bluebirds (US), ChaseLabs (UK), SuperRep.ai (US), SuperAGI (US), Instantly (US), Persana AI (US), Factors.ai (US), and Saleshandy (India)
The report also helps stakeholders understand the pulse of the AI SDR market and provides them with information on key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Primary interviews
2.1.2.2 Breakup of primary profiles
2.1.2.3 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI SDR MARKET
4.2 AI SDR MARKET: TOP THREE ENTERPRISE TYPES
4.3 NORTH AMERICA: AI SDR MARKET, BY DEPLOYMENT MODEL AND ENTERPRISE TYPE
4.4 AI SDR MARKET, BY REGION
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rising implementation of hybrid human-AI sales engagement models
5.2.1.2 Growing adoption of intent-based prospecting and predictive analytics
5.2.1.3 Increasing use of AI to deliver real-time, data-driven personalization
5.2.2 RESTRAINTS
5.2.2.1 Inefficiencies in segmentation logic and targeting precision
5.2.3 OPPORTUNITIES
5.2.3.1 Emergence of multi-agent AI-driven SDR architectures
5.2.3.2 Growing sales efficiency through predictive lead qualification
5.2.3.3 Increasing deployment of agentic AI for autonomous workflow execution
5.2.4 CHALLENGES
5.2.4.1 Deficiencies in emotional intelligence and contextual adaptability
5.2.4.2 Reliance on high-fidelity and contextually accurate data inputs
5.3 AI SDRS AND SALES AGENTS: STRATEGIC COMPARISON
5.3.1 COMPARISON BETWEEN AI SDRS AND AI AGENTS FOR SALES
5.4 EVOLUTION OF AI SDR MARKET
5.5 SUPPLY CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS
5.6.1 SOFTWARE PROVIDERS
5.6.1.1 AI outreach assistants
5.6.1.2 Conversation intelligence tools
5.6.1.3 AI-enhanced sales engagement platforms
5.6.1.4 Lead research & enrichment bots
5.6.1.5 Email deliverability optimizers
5.6.1.6 AI script & template generators
5.7 INVESTMENT AND FUNDING SCENARIO
5.8 CASE STUDY ANALYSIS
5.8.1 CASE STUDY 1: KEATEXT BOOSTS LEAD QUALITY AND SALES ALIGNMENT USING HUBSPOT SALES HUB INTEGRATION
5.8.2 CASE STUDY 2: ARTISAN EMPOWERS BIOACCESS TO OVERCOME MANUAL OUTREACH CHALLENGES WITH AI-DRIVEN SALES AUTOMATION
5.8.3 CASE STUDY 3: SPENDESK AND SALESLOFT SUPERCHARGE OUTREACH WITH CADENCE AUTOMATION FOR 10X RESPONSE BOOST
5.8.4 CASE STUDY 4: ACTIONCOACH INCREASED QUALIFIED MEETINGS USING COGNISM'S AI SDR SOLUTION FOR TARGETED OUTREACH
5.8.5 CASE STUDY 5: EMPOWERING NETSKOPE SDRS TO TRANSFORM PROSPECTING WITH 6SENSE CONTACT DATA AND INSIGHTS
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 Agentic AI
5.9.1.2 RPA
5.9.1.3 Decision intelligence
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 Cloud computing
5.9.2.2 Causal AI
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Cybersecurity
5.9.3.2 Edge computing
5.10 REGULATORY LANDSCAPE
5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.10.2 REGULATORY FRAMEWORK
5.10.2.1 North America
5.10.2.1.1 US
5.10.2.1.2 Canada
5.10.2.2 Europe
5.10.2.2.1 UK
5.10.2.2.2 Germany
5.10.2.2.3 France
5.10.2.2.4 Italy
5.10.2.3 Asia Pacific
5.10.2.3.1 India
5.10.2.3.2 China
5.10.2.3.3 Japan
5.10.2.3.4 South Korea
5.10.2.3.5 Australia
5.10.2.4 Middle East & Africa
5.10.2.4.1 Saudi Arabia
5.10.2.4.2 UAE
5.10.2.4.3 Qatar
5.10.2.4.4 Turkey
5.10.2.4.5 Africa
5.10.2.5 Latin America
5.10.2.5.1 Brazil
5.10.2.5.2 Mexico
5.10.2.5.3 Argentina
5.11 PATENT ANALYSIS
5.11.1 METHODOLOGY
5.11.2 PATENTS FILED, BY DOCUMENT TYPE, 2016-2025
5.11.3 INNOVATION AND PATENT APPLICATIONS
5.12 PRICING ANALYSIS
5.12.1 AVERAGE SELLING PRICE OF FUNCTIONALITY, BY KEY PLAYER
5.12.2 AVERAGE SELLING PRICE, BY SALES PROCESS
5.13 KEY CONFERENCES AND EVENTS, 2025-2026
5.14 PORTER'S FIVE FORCES ANALYSIS
5.14.1 THREAT OF NEW ENTRANTS
5.14.2 THREAT OF SUBSTITUTES
5.14.3 BARGAINING POWER OF SUPPLIERS
5.14.4 BARGAINING POWER OF BUYERS
5.14.5 INTENSITY OF COMPETITIVE RIVALRY
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.15.2 BUYING CRITERIA
5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.17 HUMAN SDRS VS. AI SDRS
6 AI SDR MARKET, BY OFFERING
6.1 INTRODUCTION
6.1.1 OFFERING: AI SDR MARKET DRIVERS
6.2 SOFTWARE
6.2.1 AI OUTREACH ASSISTANTS
6.2.1.1 Expand outbound capacity and improve response precision with AI-driven outreach
6.2.1.2 Personalized email generators
6.2.1.3 Cold call script writers
6.2.1.4 Follow-up sequencers
6.2.2 CONVERSATION INTELLIGENCE TOOLS
6.2.2.1 Enhance SDR performance with real-time coaching and data-backed outreach insights
6.2.2.2 Real-time coaching
6.2.2.3 Sentiment & intent detection
6.2.2.4 Objection handling
6.2.3 AI-ENHANCED SALES ENGAGEMENT PLATFORMS
6.2.3.1 Increase conversions through adaptive sequencing, timely engagement, and behavioral insight integration
6.2.3.2 Multi-channel sequencing
6.2.3.3 Engagement scoring
6.2.3.4 Meeting booking
6.2.4 LEAD RESEARCH & ENRICHMENT BOTS
6.2.4.1 Boosting AI SDR efficiency through automated, accurate, and context-rich lead data enrichment
6.2.4.2 AI-ICP matching
6.2.4.3 Enrichment
6.2.4.4 Trigger monitoring
6.2.5 EMAIL DELIVERABILITY OPTIMIZERS
6.2.5.1 Real-time inbox monitoring to maximize email deliverability
6.2.5.2 Spam risk tools
6.2.5.3 Inbox rotation & warming
6.2.6 AI SCRIPT & TEMPLATE GENERATORS
6.2.6.1 AI script and template generators deliver custom messaging at scale for sales teams
6.2.6.2 Agent-led outreach execution
6.2.6.3 Persona-based prompting
6.2.6.4 SDR agent monitoring dashboard
6.3 SERVICES
6.3.1 WORKFLOW AUTOMATION SETUP & INTEGRATION
6.3.1.1 Automate SDR processes and sync sales tools for faster lead execution
6.3.2 AI PERSONALIZATION & PROMPT CONSULTING
6.3.2.1 Align AI messaging and persona relevance with integrated prompt support
6.3.3 DELIVERABILITY & SPAM AUDIT SERVICES
6.3.3.1 Detection of risk signals and calibrating AI content to maintain sender score integrity
7 AI SDR MARKET, BY DEPLOYMENT MODEL
7.1 INTRODUCTION
7.1.1 DEPLOYMENT MODEL: AI SDR MARKET DRIVERS
7.2 CLOUD-NATIVE SAAS
7.2.1 ENABLING SCALABLE, CENTRALIZED AI SDR AUTOMATION ACROSS DISTRIBUTED SALES TEAMS
7.3 CHROME EXTENSIONS
7.3.1 BOOSTING REP PRODUCTIVITY WITH SEAMLESS, BROWSER-BASED AI SDR WORKFLOW ENHANCEMENTS
7.4 API-FIRST MODULAR EMBEDS
7.4.1 EMPOWERING CUSTOM AI SDR SOLUTIONS THROUGH FLEXIBLE, DEVELOPER-CENTRIC API INTEGRATIONS
8 AI SDR MARKET, BY SALES CHANNEL
8.1 INTRODUCTION
8.1.1 SALES CHANNEL: AI SDR MARKET DRIVERS
8.2 INBOUND
8.2.1 ENHANCING LEAD CONVERSION THROUGH AI-POWERED ENGAGEMENT OF INTERESTED PROSPECTS
8.3 OUTBOUND
8.3.1 DRIVING PROACTIVE OUTREACH WITH SCALABLE, AI-DRIVEN PROSPECTING AND PERSONALIZATION
8.4 HYBRID
8.4.1 INTEGRATING INBOUND AND OUTBOUND STRATEGIES FOR UNIFIED, ADAPTIVE SALES ENGAGEMENT
9 AI SDR MARKET, BY USE CASE
9.1 INTRODUCTION
9.1.1 USE CASE: AI SDR MARKET DRIVERS
9.2 LEAD GENERATION & QUALIFICATION
9.2.1 IMPROVING PIPELINE PRECISION WITH PREDICTIVE LEAD GENERATION AND SCORING
9.2.2 OUTBOUND EMAIL PERSONALIZATION
9.2.3 INBOUND LEAD QUALIFICATION
9.2.4 LEAD ROUTING & PRIORITIZATION
9.3 PROSPECTING & OUTREACH
9.3.1 OPTIMIZING LEAD DISCOVERY AND ENGAGEMENT TIMING WITH AI-DRIVEN PROSPECTING LOGIC
9.3.2 COLD CALLING ASSISTANCE
9.3.3 CONVERSATION SUMMARIZATION
9.4 CRM INTEGRATION & DATA MANAGEMENT
9.4.1 ENHANCING OUTREACH PRECISION AND WORKFLOW EFFICIENCY WITH UNIFIED CRM DATA INFRASTRUCTURE
9.4.2 CRMS
9.4.3 DATA PROVIDERS
9.5 MEETING & APPOINTMENT SCHEDULING
9.5.1 IMPROVING CONVERSION EFFICIENCY THROUGH AI SCHEDULING AND INTELLIGENT COORDINATION
9.6 RESEARCH, COACHING, & SDR ENABLEMENT
9.6.1 ENABLING SMARTER PROSPECTING AND SKILL DEVELOPMENT WITH AI-DRIVEN INSIGHTS AND COACHING
9.6.2 SDR ENABLEMENT & ONBOARDING
9.6.3 RESEARCH COACHING
9.7 FOLLOW-UP & NURTURING
9.7.1 BOOSTING PROSPECT CONVERSION THROUGH ADAPTIVE AND AUTOMATED AI NURTURING SEQUENCES
9.8 SALES REPORTING & ANALYTICS
9.8.1 IMPROVING SDR ACCURACY AND IMPACT THROUGH REAL-TIME AI SALES ANALYTICS
9.9 INTEGRATION ENVIRONMENT
9.9.1 UNIFYING SALES WORKFLOWS AND DATA WITH SEAMLESS AI SDR SYSTEM INTEGRATION
9.9.2 EMAIL TOOLS
9.9.3 SALES ENGAGEMENT PLATFORMS
9.9.4 MARKETING PLATFORMS
10 AI SDR MARKET, BY END USER
10.1 INTRODUCTION
10.1.1 END USER: AI SDR MARKET DRIVERS
10.2 ENTERPRISE TYPE
10.2.1 STARTUPS & SMBS
10.2.1.1 Accelerating scalable outreach and lead conversion for startups and SMBs using AI SDRs
10.2.2 MID-MARKET SALES ORGANIZATIONS
10.2.2.1 Streamlining cross-functional alignment and accelerating scalable pipeline growth with AI SDR solutions
10.2.3 ENTERPRISE SDR TEAMS
10.2.3.1 Driving strategic account engagement and data-integrated execution across enterprise sales operations
10.3 INDUSTRY VERTICAL
10.3.1 RETAIL & E-COMMERCE
10.3.1.1 Driving revenue velocity through hyper-personalized outreach in retail & e-commerce
10.3.2 BFSI
10.3.2.1 Enabling compliant, data-driven outreach for financial product sales efficiency
10.3.2.2 Banking
10.3.2.3 Financial services
10.3.2.4 Insurance
10.3.3 TELECOMMUNICATIONS
10.3.3.1 Enhancing buyer targeting and channel engagement across telecom sales operations
10.3.4 HEALTHCARE & LIFE SCIENCES
10.3.4.1 Improving clinical outreach and product positioning through AI-enabled engagement
10.3.5 EDUCATION
10.3.5.1 Scaling enrollment pipelines and institutional sales through adaptive outreach in education
10.3.6 MEDIA & ENTERTAINMENT
10.3.6.1 Expanding content partnerships and subscriber growth through intelligent sales automation
10.3.6.2 Marketing & advertising agencies
10.3.6.3 Music & film production
10.3.6.4 Gaming & sports
10.3.6.5 Publishing & print media
10.3.6.6 Broadcasting & streaming
10.3.7 MANUFACTURING
10.3.7.1 Optimizing technical sales pipelines with intelligent distributor and OEM targeting
10.3.8 TRAVEL & HOSPITALITY
10.3.8.1 Boosting corporate bookings and guest conversions with adaptive sales engagement
10.3.9 REAL ESTATE & CONSTRUCTION
10.3.9.1 Accelerating investor outreach and project engagement through targeted AI prospecting
10.3.10 AUTOMOTIVE, TRANSPORTATION & LOGISTICS
10.3.10.1 Streamlining fleet sales and supply chain outreach with predictive AI workflows
10.3.11 OTHER INDUSTRY VERTICALS
11 AI SDR MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 NORTH AMERICA: AI SDR MARKET DRIVERS
11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
11.2.3 US
11.2.3.1 Rapid implementation of AI SDR platforms by enterprises to enhance sales efficiency and conversion rates
11.2.4 CANADA
11.2.4.1 Advancing privacy-centric AI SDR solutions to drive responsible sales automation
11.3 EUROPE
11.3.1 EUROPE: AI SDR MARKET DRIVERS
11.3.2 EUROPE: MACROECONOMIC OUTLOOK
11.3.3 UK
11.3.3.1 Precision outreach and seamless AI integration drive scalable sales transformation
11.3.4 GERMANY
11.3.4.1 Demand for transparent AI and secure integration accelerates enterprise sales innovation
11.3.5 FRANCE
11.3.5.1 Localized outreach and social sequencing accelerate AI SDR adoption
11.3.6 ITALY
11.3.6.1 AI SDR integration enhances sales efficiency and lead conversion across enterprises
11.3.7 SPAIN
11.3.7.1 AI SDR adoption accelerates pipeline velocity and multi-market reach for firms
11.3.8 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 ASIA PACIFIC: AI SDR MARKET DRIVERS
11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
11.4.3 CHINA
11.4.3.1 Enhancing prospecting efficiency with localized AI SDR tools and native platform integration
11.4.4 JAPAN
11.4.4.1 Precision-driven AI SDR adoption anchored in localization, workflow integration, and channel alignment
11.4.5 INDIA
11.4.5.1 Boosting SDR productivity with lead prioritization, sequencing, and scalable outreach tools
11.4.6 SOUTH KOREA
11.4.6.1 Driving high-impact outreach through sequencing and buyer targeting
11.4.7 AUSTRALIA & NEW ZEALAND
11.4.7.1 Improving pipeline velocity and targeting precision with data-led outreach tools and insights
11.4.8 ASEAN
11.4.8.1 Accelerating market adoption amid rapid digital expansion
11.4.9 REST OF ASIA PACIFIC
11.5 MIDDLE EAST & AFRICA
11.5.1 MIDDLE EAST & AFRICA: AI SDR MARKET DRIVERS
11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
11.5.3 MIDDLE EAST
11.5.3.1 Saudi Arabia
11.5.3.1.1 Vision-led innovation and Arabic-centric AI propel SDR transformation
11.5.3.2 UAE
11.5.3.2.1 Accelerating AI SDR adoption due to robust data governance and multilingual demands
11.5.3.3 Qatar
11.5.3.3.1 Increasing AI SDR adoption due to broader digital transformation
11.5.3.4 Turkey
11.5.3.4.1 Driving sales efficiency through SDR personalization and intelligent outreach
11.5.3.5 Rest of Middle East
11.5.4 AFRICA
11.5.4.1 Driving sales transformation with enterprise AI and stringent data compliance
11.6 LATIN AMERICA
11.6.1 LATIN AMERICA: AI SDR MARKET DRIVERS
11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
11.6.3 BRAZIL
11.6.3.1 AI SDR automation driving pipeline scale and response speed in tech firms
11.6.4 MEXICO
11.6.4.1 Multichannel personalization and localized engagement boosting AI SDR adoption
11.6.5 ARGENTINA
11.6.5.1 AI-powered prospecting enabling lean SDR teams to expand reach
11.6.6 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2025
12.3 REVENUE ANALYSIS, 2020-2024
12.4 MARKET SHARE ANALYSIS, 2024
12.5 PRODUCT COMPARISON
12.5.1 PRODUCT COMPARATIVE ANALYSIS, BY ENTERPRISE TYPE (STARTUPS & SMBS)
12.5.1.1 Breeze (HubSpot)
12.5.1.2 Apollo.io platform (Apollo.io)
12.5.1.3 Jazon (Lyzr AI)
12.5.1.4 SchedX (Klenty)
12.5.1.5 Agent Frank (Salesforge)
12.5.2 PRODUCT COMPARATIVE ANALYSIS, BY ENTERPRISE TYPE (MID-MARKET SALES ORGANIZATIONS)
12.5.2.1 AiSDR (AiSDR)
12.5.2.2 Ava (Artisan AI)
12.5.2.3 Gem-E (UserGems)
12.5.2.4 Alisha AI SDR (Floworks)
12.5.2.5 SuperRep (SuperRep.ai)
12.5.3 PRODUCT COMPARATIVE ANALYSIS, BY ENTERPRISE TYPE (ENTERPRISE SDR TEAMS)
12.5.3.1 Agentforce for Sales (Salesforce)
12.5.3.2 Piper (Qualified)
12.5.3.3 Luru AI SDR (Luru)
12.5.3.4 Alice (11x AI)
12.5.3.5 RoomieAI (Common Room)
12.6 COMPANY VALUATION AND FINANCIAL METRICS
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
12.7.1 STARS
12.7.2 EMERGING LEADERS
12.7.3 PERVASIVE PLAYERS
12.7.4 PARTICIPANTS
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
12.7.5.1 Company footprint
12.7.5.2 Regional footprint
12.7.5.3 Offering footprint
12.7.5.4 Sales channel footprint
12.7.5.5 Enterprise type footprint
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
